# SA4CPS FTP Data Ingestion Service

This service monitors the SA4CPS FTP server at `ftp.sa4cps.pt` and processes `.slg_v2` files for real-time energy monitoring data ingestion.

## Overview

The Data Ingestion Service provides comprehensive FTP monitoring and data processing capabilities specifically designed for the SA4CPS project. It automatically detects, downloads, and processes `.slg_v2` files from the FTP server, converting them into standardized sensor readings for the energy monitoring dashboard.

## Architecture

```
ftp.sa4cps.pt (.slg_v2 files) 
    ↓
FTP Monitor (polls every 5 minutes)
    ↓  
Data Processor (supports multiple formats)
    ↓
Redis Publisher (3 topic channels)
    ↓
Real-time Dashboard & Analytics
```

## Features

### FTP Monitoring
- ✅ **Automatic Discovery**: Monitors `ftp.sa4cps.pt` for new `.slg_v2` files
- ✅ **Duplicate Prevention**: Tracks processed files to avoid reprocessing
- ✅ **Connection Management**: Maintains persistent FTP connections with automatic retry
- ✅ **File Pattern Matching**: Supports `*.slg_v2` and custom file patterns
- ✅ **Configurable Polling**: Default 5-minute intervals, fully configurable

### Data Processing
- ✅ **Multi-Format Support**: CSV-style, space-delimited, tab-delimited `.slg_v2` files
- ✅ **Smart Header Detection**: Automatically detects and parses header information
- ✅ **Metadata Extraction**: Processes comment lines for file-level metadata
- ✅ **Unit Inference**: Intelligent unit detection based on column names and value ranges
- ✅ **Timestamp Handling**: Supports multiple timestamp formats with automatic parsing
- ✅ **Multi-Value Support**: Handles files with multiple sensor readings per line

### Data Output
- ✅ **Redis Publishing**: Real-time data streaming via Redis pub/sub
- ✅ **Multiple Topics**: Publishes to 3 specialized channels:
  - `sa4cps_energy_data`: Energy consumption and power readings
  - `sa4cps_sensor_metrics`: Sensor telemetry and status data
  - `sa4cps_raw_data`: Raw unprocessed data for debugging
- ✅ **Standardized Format**: Consistent sensor reading format across all outputs

## Quick Start

### 1. Deploy with Docker Compose

```bash
cd microservices
docker-compose up -d data-ingestion-service
```

### 2. Auto-Configure SA4CPS Source

```bash
# Run the automatic configuration script
docker-compose exec data-ingestion-service python startup_sa4cps.py
```

### 3. Verify Setup

```bash
# Check service health
curl http://localhost:8008/health

# View configured data sources
curl http://localhost:8008/sources

# Monitor processing statistics
curl http://localhost:8008/stats
```

## Configuration

### Environment Variables

Set these in the `docker-compose.yml`:

```yaml
environment:
  - FTP_SA4CPS_HOST=ftp.sa4cps.pt        # FTP server hostname
  - FTP_SA4CPS_PORT=21                   # FTP port (default: 21)
  - FTP_SA4CPS_USERNAME=anonymous        # FTP username
  - FTP_SA4CPS_PASSWORD=                 # FTP password (empty for anonymous)
  - FTP_SA4CPS_REMOTE_PATH=/            # Remote directory path
```

### Manual Configuration

You can also configure the SA4CPS data source programmatically:

```python
from sa4cps_config import SA4CPSConfigurator

configurator = SA4CPSConfigurator()

# Create data source
result = await configurator.create_sa4cps_data_source(
    username="your_username",
    password="your_password", 
    remote_path="/data/energy"
)

# Test connection
test_result = await configurator.test_sa4cps_connection()

# Check status
status = await configurator.get_sa4cps_status()
```

## API Endpoints

### Health & Status
- `GET /health` - Service health check
- `GET /stats` - Processing statistics
- `GET /sources` - List all data sources

### Data Source Management
- `POST /sources` - Create new data source
- `PUT /sources/{id}` - Update data source
- `DELETE /sources/{id}` - Delete data source
- `POST /sources/{id}/test` - Test FTP connection
- `POST /sources/{id}/trigger` - Manual processing trigger

### Monitoring
- `GET /processing/status` - Current processing status
- `GET /data-quality` - Data quality metrics
- `GET /redis/topics` - Active Redis topics

## .slg_v2 File Format Support

The service supports various `.slg_v2` file formats:

### CSV-Style Format
```
# SA4CPS Energy Data
# Location: Building A
timestamp,sensor_id,energy_kwh,power_w,voltage_v
2024-01-15T10:00:00Z,SENSOR_001,1234.5,850.2,230.1
2024-01-15T10:01:00Z,SENSOR_001,1235.1,865.3,229.8
```

### Space-Delimited Format  
```
# Energy consumption data
# System: Smart Grid Monitor
2024-01-15T10:00:00 LAB_A_001 1500.23 750.5
2024-01-15T10:01:00 LAB_A_001 1501.85 780.2
```

### Tab-Delimited Format
```
# Multi-sensor readings
timestamp	sensor_id	energy	power	temp
2024-01-15T10:00:00Z	BLDG_A_01	1234.5	850.2	22.5
```

## Data Output Format

All processed data is converted to a standardized sensor reading format:

```json
{
  "sensor_id": "SENSOR_001",
  "timestamp": 1705312800,
  "datetime": "2024-01-15T10:00:00",
  "value": 1234.5,
  "unit": "kWh",
  "value_type": "energy_kwh",
  "additional_values": {
    "power_w": {"value": 850.2, "unit": "W"},
    "voltage_v": {"value": 230.1, "unit": "V"}
  },
  "metadata": {
    "Location": "Building A",
    "line_number": 2,
    "raw_line": "2024-01-15T10:00:00Z,SENSOR_001,1234.5,850.2,230.1"
  },
  "processed_at": "2024-01-15T10:01:23.456789",
  "data_source": "slg_v2",
  "file_format": "SA4CPS_SLG_V2"
}
```

## Redis Topics

### sa4cps_energy_data
Primary energy consumption and power readings:
- Energy consumption (kWh, MWh)
- Power readings (W, kW, MW)  
- Efficiency metrics

### sa4cps_sensor_metrics
Sensor telemetry and environmental data:
- Voltage/Current readings
- Temperature measurements
- Sensor status/diagnostics
- System health metrics

### sa4cps_raw_data  
Raw unprocessed data for debugging:
- Original file content
- Processing metadata
- Error information
- Quality metrics

## Monitoring & Troubleshooting

### Check Processing Status
```bash
# View recent processing activity
curl http://localhost:8008/processing/status | jq

# Check data quality metrics
curl http://localhost:8008/data-quality | jq

# Monitor Redis topic activity
curl http://localhost:8008/redis/topics | jq
```

### View Logs
```bash
# Service logs
docker-compose logs -f data-ingestion-service

# Follow specific log patterns
docker-compose logs data-ingestion-service | grep "SA4CPS\|SLG_V2"
```

### Common Issues

1. **FTP Connection Failed**
   - Verify `FTP_SA4CPS_HOST` is accessible
   - Check firewall/network settings
   - Validate username/password if not using anonymous

2. **No Files Found**
   - Confirm `.slg_v2` files exist in the remote path
   - Check `FTP_SA4CPS_REMOTE_PATH` configuration
   - Verify file permissions

3. **Processing Errors**
   - Check data format matches expected `.slg_v2` structure
   - Verify timestamp formats are supported
   - Review file content for parsing issues

## Development

### Testing
```bash
# Run .slg_v2 format tests
cd data-ingestion-service
python test_slg_v2.py

# Test SA4CPS configuration
python sa4cps_config.py
```

### Extending File Support

To add support for new file formats:

1. Add format to `DataFormat` enum in `models.py`
2. Implement `_process_your_format_data()` in `data_processor.py`
3. Add format handling to `process_time_series_data()` method
4. Update `supported_formats` list

### Custom Processing Logic

Override processing methods in `DataProcessor`:

```python
class CustomSA4CPSProcessor(DataProcessor):
    async def _process_slg_v2_line(self, line, header, metadata, line_idx):
        # Custom line processing logic
        processed = await super()._process_slg_v2_line(line, header, metadata, line_idx)
        
        # Add custom fields
        processed['custom_field'] = 'custom_value'
        
        return processed
```

## Support

For issues or questions:
1. Check service logs: `docker-compose logs data-ingestion-service`
2. Verify configuration: `curl http://localhost:8008/sources`
3. Test FTP connection: `curl -X POST http://localhost:8008/sources/{id}/test`
4. Review processing status: `curl http://localhost:8008/processing/status`

## License

This implementation is part of the SA4CPS project energy monitoring dashboard.